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World Meteorological Organization Commission for Instruments and Methods of Observation OPAG on Remote-Sensing Technologies Inter-Programme Expert Team on Operational Weather Radars Tokyo, Japan, 13-16 March 2017 CIMO/OPAG-RST/IPETOWR-1/Doc. 3.1(1) Submitted by: Elena Saltikoff, Finland 1.Mar.2017 DRAFT 1 REGIONAL AND NATIONAL WEATHER RADAR PRIORITIES AND REQUIREMENTS IN OPERA SUMMARY This document provides information on Regional and National Weather Radar Priorities and Requirements in EUMETNET (part of RA VI). There are remarkable differences in these among the OPERA members, which leads to remarkable diversity of radar data production, and in turn is a challenge for international co-operation and data exchange. Still, an significant amount of harmonization has been achieved during the 20 years of international co-operation in these matters. __________ CIMO/OPAG-RST/IPET-OWR-1/Doc. 3.1(1), DRAFT 1, p. 2 OPERA NETWORK During the last 50 years the European weather radar network has been developed via a bottom-up approach. At first instance the national meteorological services of the European countries have independently built their own operational radar networks and in the 1990s the exchange of experiences, the harmonization, and the data exchange were started. As a result the European radar network is extremely heterogeneous in installation date, manufacturers, scanning strategy, signal processing, and product generation. In this respect the European radar network is fundamentally different from e.g. the NEXRAD. For running a continental network this imposes challenges but also provides a wealth of knowledge on different techniques and algorithms. [1]OPERA database [2] has information of 226 radars belonging to EUMETNET members or co-operating institutes. Not all of them are included in the international data exchange. 179 are C-band, 31 S-band, 16 X-band. 20 radars are reported as non-doppler, in Southern and Eastern parts of Europe, but some of that data may be out of date. Out of the 226 radars in the database, 80 are from last century.[2] However, the age of a radar is a slightly subjective matter, as partial upgrades happen often. The most common upgraded componend has been the signal processor [3]. As of October 2016, 105 radars were dual polarization. There are several ongoing upgrade projects so situation is changing rapidly. The distances between radars were studied in 2013. The median distance between two neighboring radars in the network was 128 km, The most remote radars in the network are those in Iceland and Gran Canaria. When these radars are discarded the largest distance between two neighboring radars in the European network is only 276 km.[1] European weather services operate varying sizes of weather radar networks. Almost half of OPERA members have 1-3 radars. At the other end, France has 30, Germany has 20 and the UK and Serbia have 15 radars each (Italy with its 24 radars is not an OPERA member).[3] Because upgrade of radar often leads to changes in scanning strategies, a quick survey was made in January 2017. 23 out of 30 members replied. Replies are summarized in Table 1. In general, the biggest number of elevations (more than 15) is used in mountaineous countries. For repetition, 5 minutes is the most common value. For measurement range, vast majority is between 240 km and 250 km, and those under or over these values have nothing obvious in common. All countries except one have different parts with different Nyquist speeds in their scanning strategy. Table 1. Overview of scanning strategies of 23 OPERA members. NATIONAL PRIORITIES IN RADAR USE CIMO/OPAG-RST/IPET-OWR-1/Doc. 3.1(1), DRAFT 1, p. 3 In the survey of January 2017, members were asked: On scale 1-5. how important are the following applications of your radar data (may be used in your institute or another institute) ? 0= not used, 1=used but not important, .. 5 = very very important. The results are shown in table 2. Number of respondents: 23 0 1 2 3 4 5 Total Average Aviation weather service 0 0 0 1 7 15 23 4.61 Hydrological applications 1 2 2 4 6 8 23 3.57 Flooding of rivers 1 1 3 6 4 6 21 3.38 Hydropower 6 4 5 6 0 0 21 1.52 Flash floods 1 1 1 7 3 10 23 3.74 Warning of severe weather 0 0 0 0 3 20 23 4.87 Insurance claims (afterwards) 0 0 5 11 5 2 23 3.17 Television and web 0 1 0 8 10 4 23 3.7 Assimilation in NWP models 3 1 3 4 5 3 19 2.84 Table 2: Priority of applications using radar data among 23 OPERA members Two most important applications were Warnings for severe weather and Aviation weather services. Also television and web and insurance claims were of at least some use for everyone. REDUCING THE HETEROGENEITY OF THE OPERA NETWORK Reducing the current OPERA network heterogeneity would benefit to every user in need of cross-border radar products. The most important message from the small survey above is, that different weather services have different priorities. These naturally affect at a national level the scanning strategy and the amount of processing of the radar products seen as the most important, and are the main reason the current network heterogeneity is difficult to eliminate. Despite the limit these different priorities set on a full harmonization goal, the OPERA radar network is nevertheless gradually converging w.r.t. hardware, processing, software and operation. This is due to increased collaboration and information exchange between the nations, for which the OPERA program is a key framework. The Odyssey data hub and compositing center run by OPERA helps to ensure that any claimed harmonization progress is measurable and not only theoretical. The level how much the operating weather services are in control of their radar products is varying a lot. Many members need to ask their radar manufacturer to implement a production change for a fee, and this often happens in conjunction with an upgrade project. Hence, implementation of any major changes in the entire Pan-European network will often follow the slow pace of national radar networks upgrades. The biggest achievement for OPERA harmonization has been the establishment of a common data model, now supported by all the major radar manufacturers, and the ongoing dialogue with end-users to include all the relevant metadata. Especially during this programme phase (2013-2018) OPERA has put a lot of effort in data quality by comparing and developing algorithms and monitoring methods. Many methods are implemented centrally in the Odyssey data hub, but the algorithm comparisons as well as CIMO/OPAG-RST/IPET-OWR-1/Doc. 3.1(1), DRAFT 1, p. 4 monitoring feedback are of benefit also for national use. Monitoring of data availability has been operational for years, antenna pointing monitoring with sun has started in 2016, and several others are yet to be implemented. REFERENCES: 1 2 3 Huuskonen, A., E. Saltikoff, I. Holleman, 2014: The Operational Weather Radar Network in Europe. Bull.Am.Met.Soc. 897-907. DOI: http://dx.doi.org/10.1175/BAMSD-12-00216.1 EUMETNET Website: http://eumetnet.eu/activities/observations-programme/currentactivities/opera/ Saltikoff E., M. Kurri, H. Lejnse, S. Barbosa and K. Stiansen, 2017. Maintenance keeps radars running. Submitted to Bull.Am.Met.Soc. __________